Sr AI Engineer

Ecolab; Kraków; Hybride; PLN 240 000 - 420 000; Plein temps

Avantages offerts par ce poste

Lunch subsidy

Sport bonus

Holiday bonus

Hybrid work model

Parking space

Résumé du poste

Ecolab is seeking a highly experienced Senior AI Engineer to architect GenAI solutions in Krakow, guiding LLM-based systems, orchestration, and embedding pipelines.

This hybrid, full-time role offers the chance to shape scalable AI across the organization, with opportunities to mentor teams and influence security and governance standards.

Qualifications

• 4-6+ years of AI/ML engineering experience building GenAI apps.
• Strong Python skills with 3.10/3.11+ and hands-on experience with LLM APIs, vector databases, embeddings and agent frameworks.
• Proven experience designing agent-based systems using framework-agnostic orchestration patterns.
• Experience deploying secure, scalable cloud-native AI solutions (Azure ecosystem).
• Strong understanding of CI/CD pipelines, containerisation (Docker/Kubernetes), and production-grade model monitoring.
• Solid knowledge of system design principles, performance tuning, and distributed architectures.

Responsabilités

• Architect enterprise-grade GenAI systems using modular LLM APIs, agent orchestration frameworks, and embedding pipelines.
• Design autonomous agent workflows with context management, multi-agent coordination, and task delegation.
• Optimize system performance via prompt strategies, retrieval augmentation, and caching logic.
• Lead architectural reviews, enforce prompt safety and governance standards, and ensure enterprise security compliance.
• Collaborate with product, platform, and engineering leaders to define reusable AI design patterns and scalable capabilities.
• Guide engineering pods on GenAI best practices, system resilience, and prompt lifecycle management.
• Develop and maintain reusable assets (SDKs, templates, shared agent logic) to accelerate development.
• Drive innovation by evaluating advancements in LLM tooling, orchestration frameworks, and prompt optimisation.

Connaissances

AI/ML engineering

Python

LLM APIs

Vector databases

Agent frameworks

Orchestration patterns

CI/CD pipelines

Containerisation

Model monitoring

Distributed architectures

Azure cloud

Outils

Docker

Kubernetes

Azure ecosystem

Description du poste

Ecolab is a global leader in water, hygiene, and energy technologies, dedicated to delivering innovative solutions that make a positive impact worldwide. With operations spanning across 170 countries, Ecolab is committed to sustainability, innovation, and fostering a diverse and inclusive workplace.

There are over 500 of us in our Krakow business center, where we highly specialize in finance, supply chain, accounting, controlling and regulatory. We’re always looking for new talent to join our team. When you come to work at Ecolab, you get to take on some of the world’s most meaningful challenges and have the opportunity to learn and grow, shape your career, make an impact and quickly see the importance of your work.

Right now, we are seeking a highly experienced Senior AI Engineer to architect and scale enterprise-grade Generative AI (GenAI) solutions. This role will drive the design and delivery of intelligent systems leveraging large language models (LLMs), agent orchestration frameworks, and embedding-driven retrieval architectures and guide engineering pods, define reusable AI patterns, and ensure robust, secure, and scalable GenAI capabilities across the organisation.

This hybrid position is offered as a full-time employment (employment contract), providing a structured opportunity to support redefining how one of the world’s leading companies applies AI to solve real business challenges. At Ecolab, innovation is more than a buzzword, it is embedded in our culture, which is why we are proud to be recognized as #9 on Fortune’s AIQ 50 list of companies leading the AI revolution.

What You will Do:

• Architect enterprise-grade GenAI systems using modular LLM APIs , agent orchestration frameworks, and embedding pipelines
• Design and implement autonomous agent workflows with context management, multi-agent coordination, and task delegation
• Optimise system performance , latency, and response accuracy through experimentation with prompt strategies, retrieval augmentation, and caching logic
• Lead architectural reviews, enforce prompt safety and governance standards, and ensure compliance with enterprise security protocols
• Collaborate with product, platform, and engineering leaders to define reusable AI design patterns and scalable capabilities
• Guide engineering pods on GenAI best practices, system resilience, and prompt lifecycle management
• Develop and maintain reusable assets (SDKs, templates, shared agent logic) to accelerate development across teams
• Drive innovation by continuously evaluating advancements in LLM tooling, orchestration frameworks, and prompt optimisation techniques
• Provide technical leadership, mentoring engineers and influencing AI adoption across programmes

What will You Need:

Required Qualifications

• 4-6+ years of experience in AI/ML engineering , with demonstrated experience in building and scaling GenAI applications
• Strong programming expertise in Python (3.10/3.11+) and hands‑on experience with LLM APIs , vector databases, embedding models, and agent frameworks
• Proven experience designing agent‑based systems using framework‑agnostic orchestration patterns
• Experience deploying secure, scalable, and cost‑efficient cloud‑native AI solutions (preferably Azure ecosystem)
• Strong understanding of CI/CD pipelines , containerisation (Docker/Kubernetes), and production‑grade model monitoring
• Solid knowledge of system design principles, performance tuning, and distributed architectures

Preferred Qualifications

• Experience with Model Context Protocols (MCP) and agent‑to‑agent (A2A) communication patterns
• Contributions to reusable GenAI frameworks, accelerators, or developer platforms (prompt templates, agent libraries, SDKs)
• Familiarity with governance and observability tools for LLM systems (cost monitoring, safety filters, token usage tracking)
• Strong communication skills with the ability to explain complex AI concepts to both technical and non‑technical stakeholders
• Exposure to enterprise‑scale AI deployments in supply chain, optimisation, or decision intelligence systems
• Fluent Polish and very good English skills

What’s In for You:

• Competitive Compensation: Attractive salary and benefits package (lunch subsidy, sport bonus, holiday bonus etc.).
• Work-Life Balance: Flexible working arrangements with hybrid model of work (approx. 50% from the office and 50% from home.
• Matrix Organization: Thrive in our matrix organization, working across Europe with various teams and cultural backgrounds.
• Collaborative Environment: Strong teamwork and diverse interactions.
• Development Opportunities: Personalized plans with rapid progression
• Versatile Career Paths: Professional growth supported by active committee for different career levels.
• Supportive Culture: High employee satisfaction and responsive feedback.
• Learning and Innovation: Continuous learning and technical training incl. subject matter experts’ trainings, soft skills and LinkedIn learning.
• Social events such as family events and charity auctions.
• Comfortable working environment (Library, relaxation area, casual dress code).
• Parking space for cars and bikes.

At Ecolab, we prioritize our talent-first philosophy by creating the most capable and diverse team to excel at our nearly three million customer sites. Building on a century of innovation, our 48,000 associates help deliver comprehensive science‑based solutions, data‑driven insights and world‑class service to advance food safety, maintain clean and safe environments, and optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets in more than 170 countries around the world. Our solutions not only enhance operational efficiency but also contribute to sustainability and public health, making a positive impact on the world.

We are committed to eliminating unnecessary complexities and embracing a beginner’s mindset, continuously seeking new perspectives and innovative solutions to stay ahead in a rapidly changing world.

We are committed to fair equal and diverse treatment of associates and applicants, furthering the principles of Equal Opportunity Employment.